ArticleThe Science of the total environment2023
Relationship between traffic-related air pollution and inflammation biomarkers using structural equation modeling.
Article in The Science of the total environment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Not just splitting hairs-monitoring environmental chemical exposures, their biological effects and their social determinants with hair shafts and follicles: a narrative review.Environmental health : a global access science source · 2026Review
- Determinants of residential pesticide contamination in vineyard regions: a structural equation modeling approach.Journal of exposure science & environmental epidemiology · 2026Article
- Neighborhood built environment, psychosocial stressors, and telomere length of birth parents and their newborns from San Francisco, California.Journal of exposure science & environmental epidemiology · 2026Article
- Association between living environmental quality and body pain in middle-aged and older adults: a national study in China.Archives of public health = Archives belges de sante publique · 2025Article
- Chronic Exposure to Bioaerosols in PM2.5 from Garbage Stations Accelerates Vascular Aging via the NF-κB/NLRP3 Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundEvidence suggests that exposure to traffic-related air pollution (TRAP) and social stressors can increase inflammation. Given that there are many different markers of TRAP exposure, socio-economic status (SES), and inflammation, analytical approaches can leverage multiple markers to better elucidate associations. In this study, we applied structural equation modeling (SEM) to assess the association between a TRAP construct and a SES construct with an inflammation construct.
methodsThis analysis was conducted as part of the Community Assessment of Freeway Exposure and Health (CAFEH; N = 408) study. Air pollution was characterized using a spatiotemporal model of particle number concentration (PNC) combined with individual participant time-activity adjustment (TAA). TAA-PNC and proximity to highways were considered for a construct of TRAP exposure. Participant demographics on education and income for an SES construct were assessed via questionnaires. Blood samples were analyzed for high sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6), and tumor necrosis factor-α receptor II (TNFRII), which were considered for the construct for inflammation. We conducted SEM and compared our findings with those obtained using generalized linear models (GLM).
resultsUsing GLM, TAA-PNC was associated with multiple inflammation biomarkers. An IQR (10,000 particles/cm
conclusionOur TRAP construct resulted in stronger associations with a combined construct for inflammation than with individual biomarkers, reinforcing the value of statistical approaches that combine multiple, related exposures or outcomes. Our findings are consistent with inflammatory risk from TRAP exposure.
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